Returns --- stats : :py:class:`pandas.DataFrame` * ``'r'``: Repeated measures correlation coefficient * ``'dof'``: Degrees of freedom * ``'pval'``: one or two tailed p-value * ``'CI95'``: 95% parametric confidence intervals * ``'power'``: achieved power of the ...
Addressing the need to harmonize environment conservation and sustainable economic development within the Yellow River Basin (YRB) requires a profound comprehension of the spatiotemporal dynamics of urban ecosystem resilience. This study developed an ind
Methods for repeated measures data analysis with missing values There are various techniques for dealing with incomplete data; some are computationally highly intensive and others are not as computationally intensive, w... KC Carriere - 《Journal of Statistical Planning & Inference》 被引量: 16发表:...
Co-expression measures are often used to define networks among genes. Mutual information (MI) is often used as a generalized correlation measure. It is not clear how much MI adds beyond standard (robust) correlation measures or regression model based association measures. Further, it is important...
Synchrony quantified as cross-correlation (CC–raw, CC–abs, CC–Z, and CC–R2) correlated with synchrony measures of SUSY, SUCO and rMEA package moderately (most Pearson r > 0.5). In contrast, the synchrony measures of WinCRQA correlated negatively with rMEA–WCLC (e.g., Pearson r(...
The illusory correlation between certain groups and certain attributes/behaviors was weak among the first participants, but this pattern grew stronger as information was communicated across participants in the chain. This finding is very important for understanding how incorrect information and stereotypes ...
Deciphering the functional organization of large biological networks is a major challenge for current mathematical methods. A common approach is to decompose networks into largely independent functional modules, but inferring these modules and their orga
and oral reading. Principal component analysis was performed on the scores on the three reading tests to quantify reading ability. Psychophysical thresholds were measured for contrast detection and speed discrimination with a drifting grating stimulus as well as for tracking two targets among concentricall...
power37,94. The GSMR method essentially implements summary data-based Mendelian randomization analysis for each SNP instrument individually, and integrates thebxyestimates of all the SNP instruments by GLS, accounting for the sampling variance in bothbzxandbyzfor each SNP and the LD among SNPs. We...
Sensory and motor delays are among them (Fig. 3i). Although the presence of such delays is widely appreciated, their effect on psychophysical kernels is unexplored. These delays effectively create a temporal gap between bound crossing and the report of the decision, making stimuli immediately ...